Data Engineering Weekly

MAY 16, 2023

I won’t bore you with the importance of data quality in the blog. Speed vs. Correctness vs. Time [SCT theorem] Just like the CAP theorem, there's a balance to be struck between speed, correctness, and Time in a data pipeline. Data observability monitors data to identify and troubleshoot issues.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

ProjectPro

FEBRUARY 8, 2023

Did you know thousands of businesses, including over 80% of the Fortune 100, use Apache Kafka to modernize their data strategies? Apache Kafka is the most widely used open-source stream-processing solution for gathering, processing, storing, and analyzing large amounts of data. What is Apache Kafka Used For?

Kafka 52

Kafka Banking Medical Healthcare 52

Cloudera

JUNE 16, 2022

real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams.

Kafka 85

Kafka Manufacturing Data Lake SQL 85

Netflix Tech

JANUARY 13, 2022

As our subscribers grow worldwide and Netflix enters the world of gaming , the number of batch workflows and real-time data pipelines increases rapidly. It motivates us to be proactive in detecting and handling failed workloads in our production environment, avoiding interruptions that could slow down our teams.

Kafka 95

Kafka Big Data Data Machine Learning 95

Cloudera

AUGUST 10, 2022

Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. In CSP, Kafka serves as the storage streaming substrate, and Flink as the core in-stream processing engine that supports SQL and REST interfaces. Apache Kafka and SMM.

Process 87

Process Kafka PostgreSQL MySQL 87

Rockset

FEBRUARY 16, 2024

Klarna is a leading buy-now-pay-later company, giving shoppers more time to pay while paying merchants in full upfront. Klarna gives shoppers flexible payment options, including pay now, pay in 4 and pay over time The importance of monitoring integrations cannot be overstated for Klarna.

Architecture 59

Architecture SQL Data Warehouse Database 59

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 106

Manufacturing Data Warehouse Kafka Retail 106

Cloudera

FEBRUARY 10, 2022

CDF-PC provides a central monitoring dashboard for flow deployments and offers custom KPI tracking and alerting allowing customers to stay on top of what matters to them. CDF-PC provides a central monitoring dashboard for flow deployments and offers custom KPI tracking and alerting allowing customers to stay on top of what matters to them.

Cloud 114

Cloud Kafka AWS Data Ingestion 114

Cloudera

OCTOBER 4, 2022

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes.

Kafka 78

Kafka Data Cloud Big Data 78

Cloudera

APRIL 20, 2021

Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time. What are the advantages of Streaming Analytics?

Hospitality 93

Hospitality Kafka Retail Data Ingestion 93

Rockset

FEBRUARY 24, 2023

Kafka or Kinesis ? This blog series will help demystify streaming data, and more specifically, provide engineering leaders a guide for incorporating streaming data into their analytics pipelines. The common thread across these examples is that a large amount of data is being generated in real time. What Is Streaming Data?

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

DoorDash Engineering

OCTOBER 17, 2023

Cautionary tales of faux gains and real losses Example 1: The $10 Million Mirage Imagine that your target is to improve weekly revenue per user. When the employee segment is excluded, the real incremental impact is $0. An engineer detects that bug and fixes it mid-experiment.

Education 87

Education Kafka Algorithm Data Warehouse 87

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system.

Machine Learning 107

Machine Learning Python Kafka Java 107

Lyft Engineering

JUNE 28, 2023

In early 2022, Lyft already had a comprehensive Machine Learning Platform called LyftLearn composed of model serving , training , CI/CD, feature serving , and model monitoring systems. On the real-time front, LyftLearn supported real-time inference and input feature validation.

Machine Learning 115

Machine Learning Building Metadata Kafka 115

Cloudera

MARCH 15, 2023

This external consumer can be an asynchronous process that scans the “outbox” table or the database logs for new entries, and sends the message to an event bus, such as Apache Kafka. In this post I am going to set up a demo environment with a Spring Boot microservice and a streaming cluster using Cloudera Public Cloud. PaymentService).

PostgreSQL 88

PostgreSQL Kafka Database Data 88

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

LinkedIn Engineering

DECEMBER 19, 2023

Co-authors: Arjun Mohnot , Jenchang Ho , Anthony Quigley , Xing Lin , Anil Alluri , Michael Kuchenbecker LinkedIn operates one of the world’s largest Apache Hadoop big data clusters. The system maintains a robust deployment history, seamlessly integrating with tools like version drift to detect deployed version differences.

Big Data 92

Big Data Hadoop Metadata Data 92

Cloudera

NOVEMBER 2, 2020

As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Mix of ad hoc exploration, dashboarding, and alert monitoring. What is Real Time Data Warehousing?

Data Warehouse 93

Data Warehouse Kafka Lambda Architecture Telecommunication 93

AltexSoft

MAY 14, 2021

It’s represented in terms of batch reporting, near real-time/real-time processing, and data streaming. And most of this data has to be handled in real-time or near real-time. This post will draw a full picture of what Big Data analytics is and how it works. Key Big Data characteristics.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Confluent

MARCH 26, 2019

Apache-Kafka ® -based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. This article describes how to instrument Kafka-based applications with distributed tracing capabilities in order to make dataflows between event-based components more visible.

Kafka 111

Kafka Transportation Metadata Consulting 111

Cloudera

NOVEMBER 10, 2021

Having access to the right set of information helps users in preparing ahead of time and removing any hurdles in the upgrade process. This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. Why switch to Ranger?

Hadoop 75

Hadoop SQL Database Kafka 75

Rockset

APRIL 15, 2022

This is the second post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them!

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

ProjectPro

NOVEMBER 15, 2021

This blog will walk through the most popular and fascinating open source big data projects. This blog will walk through the most popular and fascinating open source big data projects. Apache Beam Source: Google Cloud Platform Apache Beam is an advanced unified programming open-source model launched in 2016.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. And, out of these professions, this blog will discuss the data engineering job role. Most recruiters look for real-world project experience and shortlist the resumes based on hands-on experience working on data engineering projects.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. Table of Contents What is a Big Data Project? How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

Rockset

FEBRUARY 7, 2020

In this IoT example, we examine how to enable complex analytic queries on real-time Kafka streams from connected car sensors. Building Real-Time Analytics on Connected Car IoT Data For our example, we have a fleet of connected vehicles that send the sensor data they generate to a Kafka cluster.

Kafka 40

Kafka Transportation Data SQL 40

Rockset

MARCH 15, 2021

When working with a real-time analytics system you need your database to meet very specific requirements. You want this pipeline to take as little time as possible, because stale data doesn’t provide any value in a real-time analytics system. latency, indexing, etc.),

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

Confluent

FEBRUARY 13, 2019

Trust: Run it on the rails with instrumentation and throughput monitoring. The streaming topology shows a flow of data through an organization, representing the real-time DNA of your business. how much money was in my account at time X). Stepping through an example of an event streaming app. Being event first.

Architecture 90

Architecture Programming Kafka Database-centric 90

Databand.ai

DECEMBER 13, 2022

1) Joseph Machado Senior Data Engineer at LinkedIn Joseph is an experienced data engineer, holding a Master’s degree in Electrical Engineering from Columbia University and having spent time on the teams at Annalect, Narrativ, and most recently LinkedIn. Deepak regularly shares blog content and similar advice on LinkedIn.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Confluent

MAY 9, 2019

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Let’s explore what this really means.

Kafka 93

Kafka Pipeline-centric Architecture Database-centric 93

Zalando Engineering

JULY 12, 2017

While developing Zalando’s real-time business process monitoring solution, we encountered the need to generate complex events upon the detection of specific patterns of input events. Let’s begin by having a look at the business processes monitored by our solution. Assign watermarks for event time processing.

Process 40

Process Kafka AWS Architecture 40

Rockset

APRIL 29, 2019

In this blog post I compare options for real-time analytics on DynamoDB - Elasticsearch , Athena, and Spark - in terms of ease of setup, maintenance, query capability, latency. However, as an operational database optimized for transaction processing, DynamoDB is not well-suited to delivering real-time analytics.

NoSQL 52

NoSQL PostgreSQL AWS SQL 52

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. Rockset supports JDBC and integrates with other SQL dashboards like Tableau, Grafana, and Apache Superset.

Kafka 21

Kafka BI SQL Datasets 21

ProjectPro

NOVEMBER 22, 2021

Currently, there are over 32k+ big data jobs in the US, and the number is expected to keep growing with time. One of the limitations of dataframes is Compile Time Wellbeing, i.e., when the structure of information is unknown, no control of information is possible. One of the examples of giants embracing PySpark is Trivago.

Hadoop 52

Hadoop Python Datasets Metadata 52

Monte Carlo

JULY 7, 2022

At the time, he was one of a very few people using the term “data contract.” You can read more about Convoy’s approach from our blog with their Head of Product, Data Platform, Chad Sanderson, “ The modern data warehouse is broken.” Time will be the judge. Is it an alternative approach fit for a certain breed of organization?

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

phData: Data Engineering

JANUARY 3, 2022

Source Control Management Infrastructure as Code Build/Deploy Strategy Continuous Integration and Delivery (CI/CD) Data Quality and Validation Workflow Management Data Modeling Monitoring and Logging Business Continuity So How Do I Build a DataOps Strategy? Want to Save This eBook for Later?

IT 52

IT AWS Software Engineer Software Engineering 52